出口禁令和季节性对坦桑尼亚部分短缺和过剩市场之间玉米价格传导的影响:来自Sumbawanga市场的证据

Florence Sitima, John K. Mduma
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引用次数: 0

摘要

利用坦桑尼亚国家统计局2002 - 2017年的玉米价格数据,分析了出口禁令和季节性因素对国内价格在sumbawanga市场和逆差市场之间空间传导的影响;采用带有出口波段和季节性虚拟变量的矢量误差校正(VEC)模型。结果表明,45%的赤字市场与Sumbawanga市场长期趋同,在10%的水平上有显著的负号。此外,64%的市场对负向影响国内价格空间传导,而季节性因素对市场对间负向影响显著。格兰杰因果关系表明,63%、27%和10%的市场对分别是双向、单向和无因果关系。因此,政府政策应该倾向于增加玉米产量,而不是实施临时出口禁令,改善储存设施,减缓气候变化,以隔离季节性:所有这些都将通过市场机制调节消费价格,确保玉米销售商的盈利能力。JEL分类:Q17, M38
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impacts of Export Bans and Seasonality on Maize Price Transmission Between Selected Deficit and Surplus Markets in Tanzania: Evidence from Sumbawanga Market
Using maize prices data from Tanzania’s National Bureau of Statistics from 2002through 2017, this paper analyses the impacts of export bans and seasonality onspatial domestic price transmission between deficit markets and the surplusSumbawanga market; using a vector error correction (VEC) model with export banand seasonality dummy variables. Results show that 45% of deficit markets convergedin the long-run with the Sumbawanga market, with a significant negative sign at 10%level. Moreover, 64% of market pairs negatively impacted spatial domestic pricetransmission, while seasonality had significant impacts on the same between marketpairs. A Granger causality suggests that 63%, 27%, and 10% of market pairs were bidirectional, unidirectional and no causality, respectively. Thus, government policiesshould incline towards increaseing maize production rather than imposing ad-hocexport bans, improving storage facilities, and mitigating climate changes to insulateseasonality: all of which will—through market mechanism—moderate consumerprices and ensure profitability among maize sellers.JEL Classification: Q17, M38
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